code: def test_read_json_meta(orient, tmpdir):
      df = pd.DataFrame({"x": range(5), "y": ["a", "b", "c", "d", "e"]})
      df2 = df.assign(x=df.x + 0.5)
      lines = orient == "records"
      df.to_json(
          str(tmpdir.join("fil1.json")), orient=orient, lines=lines
      )
      df2.to_json(
          str(tmpdir.join("fil2.json")), orient=orient, lines=lines
      )
      sol = pd.concat([df, df2])
      meta = df2.iloc[:0]
  
      if orient == "values":
          # orient=values loses column names
          sol.columns = meta.columns = [0, 1]
  
      res = dd.read_json(
          str(tmpdir.join("fil*.json")),
          orient=orient,
          meta=meta,
          lines=lines,
      )
      assert_eq(res, sol)
  
      if orient == "records":
          # Also check chunked version
          res = dd.read_json(
              str(tmpdir.join("fil*.json")),
              orient=orient,
              meta=meta,
              lines=True,
              blocksize=50,
          )
          assert_eq(res, sol, check_index=False)
  
imports: from __future__ import annotations
  import json
  import os
  import fsspec
  import pandas
  import pytest
  from packaging.version import Version
  import dask
  import dask.dataframe
  from dask.dataframe._compat import PANDAS_GE_200
  from dask.dataframe.utils import assert_eq
  from dask.utils import tmpdir, tmpfile
label_desc: Use image node_id 10 for calling a global function with example usage: test_read_json_meta(orient, tmpdir) without return types